Undergraduate Student (2024 intake) National Elite Institute of Engineering, Chongqing University 重庆大学国家卓越工程师学院
📧 20242803@stu.cqu.edu.cn 🌐 mr-skeleton-max.github.io
I am an undergraduate student at Chongqing University, enrolled in 2024 at the National Elite Institute of Engineering (重庆大学国家卓越工程师学院).
My interests span four areas:
- Efficient inference — KV cache design and long-context attention, i.e. what a model actually needs to attend to when the context gets long.
- Generative modeling — image generation and autoregressive generative models.
- LLM agents & tooling — agent memory, long-horizon task execution, and the harnesses that make them work in practice.
- Efficient architectures — mixture-of-experts (MoE) offloading and GPU–CPU hybrid execution: the engineering side of making very large models run on hardware people actually have.
Most of this work lives in private repos and in projects not yet published, so the public repos below are only a slice of it.
| Project | What it is |
|---|---|
| WarpMoE | A GPU–CPU hybrid offloading engine that runs DeepSeek-scale MoE models far beyond available VRAM. 83–119 tok/s on a single A100, across 24–80 GB VRAM tiers. |
- Email: 20242803@stu.cqu.edu.cn
- GitHub: @Mr-Skeleton-Max
- Homepage: mr-skeleton-max.github.io
National Elite Institute of Engineering, Chongqing University · 重庆大学国家卓越工程师学院 · 2024 级本科生 · 李宇越